Project Descriptions and Preview Videos
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Dragon's Lair Comics Pull List An information system to support a comic book store, enabling easy flagging of new releases for subscribers. Team: Yahya Al-Kindi, Kevin McEnhill, Jack Reefe, Logan Wood |
Optimized Meal Delivery for Seniors Calculates optimal routes for delivering meals to senior citizens, in collaboration with the Intercultural Senior Center. Team: Nick Cox, Joel McMaken, William Palmer, Jacob Peterson |
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WeCare Lender Platform An insurance customer management system for auto lenders, in collaboration with WeCare Insurance. Team: Zekun Gao, Xiaobiao Billy Luo, Zilong Wang |
Xplor A treasure hunting game inspired by Pokemon Go, to be used for interacting with local businesses and community members.  Team: Alfred Balanay, Erik Anderson, Ethan Casey, Joseph Keenan |
CryptoTutor (Q&A Forum) A Q&A recommender system to guide students in making the correct API calls to Java cryptography library, in collaboration with Prof. Myoungkyu Song. Team: Tyler Bauer, Daniel Brinkman, Zoe Larson, David Lentsch |
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Agro-AI Education Platform Gamified experience for learning about AI in an agricultural context. Team: Daniel Bresnahan, Minwook Chae, Gabe Drew, Max Hobday |
UNO Academic Assessment Smart Assistant Supporting the review of degree program assessment reports through generating stats and providing smart guidance for report feedback. Team: Dylan Keefer, Kennedy Kersten, Louis Nodskov, Patrik Oliveira, Connon Peterson |
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Finance Education through a Space Shooter Game Teaching finance through an engaging space shooter game. Team: Sydney Andreasen, Carly Cameron, Ashley Colwell, CJ Jurgens |
Lottery Education Game Experiencing the long odds of winning a lottery. Team: William Heller, Logan Romanus, Ben Sachs |
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Remote-Contolled Pong A game to demonstrate remote game control from mobile device. Team: Jean Paulsen, AJ Whiting, Travis Wisecup |
Touchless Interactive Game A game to illustrate possibilities for touchless interaction by simulating the funhouse mirror experience. Team: Dillon Damme, Chen Su, Joseph Wright |
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Text Extraction into ElasticSearch A project with BuilderTrend for indexing and searching information extracted from documents and images. Team: Pajie Bimpolo, Jacob Kirshenbaum, Kyle Maynard, Edward Niemann |
PKI Classroom Scheduler An application to support educational timetabling by assigning rooms to classes in PKI. Team: Ghaday Altayyar, Tariro Nangati |
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nips nips2007 nips2007-147 nips2007-147-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Zafer Barutcuoglu, Phil Long, Rocco Servedio
Abstract: This paper studies boosting algorithms that make a single pass over a set of base classiﬁers. We ﬁrst analyze a one-pass algorithm in the setting of boosting with diverse base classiﬁers. Our guarantee is the same as the best proved for any boosting algorithm, but our one-pass algorithm is much faster than previous approaches. We next exhibit a random source of examples for which a “picky” variant of AdaBoost that skips poor base classiﬁers can outperform the standard AdaBoost algorithm, which uses every base classiﬁer, by an exponential factor. Experiments with Reuters and synthetic data show that one-pass boosting can substantially improve on the accuracy of Naive Bayes, and that picky boosting can sometimes lead to a further improvement in accuracy.
[1] S. Dasgupta and P. M. Long. Boosting with diverse base classiﬁers. COLT, 2003.
[2] R. O. Duda and P. E. Hart. Pattern Classiﬁcation and Scene Analysis. Wiley, 1973.
[3] Y. Freund. Boosting a weak learning algorithm by majority. Inf. and Comput., 121(2):256–285, 1995.
[4] Y. Freund and R. Schapire. Experiments with a new boosting algorithm. In ICML, pages 148– 156, 1996.
[5] Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. JCSS, 55(1):119–139, 1997.
[6] N. Littlestone. Redundant noisy attributes, attribute errors, and linear-threshold learning using Winnow. In COLT, pages 147–156, 1991.
[7] A. Mccallum and K. Nigam. A comparison of event models for naive bayes text classiﬁcation. In AAAI-98 Workshop on Learning for Text Categorization, 1998.
[8] R. Schapire and Y. Singer. Improved boosting algorithms using conﬁdence-rated predictions. Machine Learning, 37:297–336, 1999.


--- layout: post title: Capistrano 2.0 Preview 1 categories: - releases author: jamis published: true date: 2007-04-25 04:58:00.000000000 +01:00 ---
Capistrano 2.0 Preview 1 is now available for installing and testing:
gem install -s http://gems.rubyonrails.com capistrano
(It’ll show up as version 1.99.0; the 1.99.x series will be used as the preview releases for 2.0)
For those of you late to the party, Capistrano is a utility for executing remote commands in parallel on multiple remote servers. It is ideal for system administration, and for deploying web applications.
Note, though, that this release is not entirely backwards compatible with Capistrano 1.x, so you may need to massage your recipes a little to make them work smoothly under the new version. In order to make the upgrade process as smooth as possible, I’ve begun compiling a few documents to point out new features, gotchas, and upgrade paths:
http://www.capify.org/upgrade
Like Capistrano 2.0, the new www.capify.org website is still a bit rough in spots, and will see more documentation appearing over the next few weeks. If you have any feedback for either Capistrano 2.0 or the website, please join us on the Capistrano mailing list and make your voice heard!


Psalm 8
For the chief musician; set to the gittith style. A psalm of David.
1 Yahweh our Lord, how magnificent is your name in all the earth,
you who reveal your glory in the heavens above.
2 Out of the mouth of babies and infants you have created praise
because of your adversaries,
in order to silence both the enemy and the avenger.
3 When I look up at your heavens, which your fingers have made,
the moon and the stars, which you have set in place,
4 Of what importance is the human race that you notice them,
or mankind that you pay attention to them?
5 Yet you have made them only a little lower than the heavenly beings
and have crowned them with glory and honor.
6 You make him to rule over the works of your hands;
you have put all things under his feet:
7 all sheep and oxen,
and even the animals of the field,
8 the birds of the heavens, and the fish of the sea,
everything that passes through the currents of the seas.
9 Yahweh our Lord,
how magnificent is your name in all the earth!


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Computer games developer Computer games designer, video games designer
Computer games developers make games for the internet, mobile phones, PCs and games consoles.
1. How to become a computer games developer
There are 3 main ways into computer games development.
You could:
- start as a trainee and learn on the job
- do an apprenticeship
- study for a foundation degree, HND or degree
For all routes, you’ll usually need 4 or 5 GCSEs at grades 9 to 4 (A* to C) including English and mathsor equivalent qualifications. You’ll also need an IT qualification or experience.
For a degree you’ll usually also need A levels or equivalent level 3 qualifications.
Work
Employers will be interested in your:
- knowledge of software and the computer games market
- talent and creativity
- qualifications - it may help to have qualifications like A levels or BTECs in relevant subjects like computing or technology
You could start as a quality assurance (QA) tester if you have plenty of experience of game playing.
Apprenticeship
You could do an advanced apprenticeship in creative and digital media.
College or university
You could do a foundation degree, higher national diploma (HND) or degree in subjects like:
- computer games technology
- computer games development
- computer science
- interactive media
- mathematics
Doing a degree with a work placement could give you an advantage when you look for work.
You can apply for student finance to cover fees and living costs for higher education.
You may be able to get financial help to study at college.
UCAS has information about degree courses and entry requirements.
Find college courses near you. The Chartered Institute for IT (BCS) has information about training and qualifications.
2. Skills required
You’ll need:
- excellent IT skills
- creativity and imagination
- a logical approach to problem-solving
- the ability to work under pressure and meet deadlines
- patience and attention to detail
3. What you'll do
You’ll be working on computer games that may take several months or years to produce.
Your day-to-day duties could include:
- deciding what a game should look like and how it should play
- coming up with your own original ideas or working from an existing concept
- creating the game's visual characters, objects and scenery
- producing concept art and drawings (storyboards) at the planning stage
- bringing the characters, objects and scenery to life with computer modelling and animation software
- creating the code to make the game work
You’ll report to a producer or project manager, who oversees the whole process and makes sure that the finished game is completed on time.
4. Salary
Starter: £19,000 to £25,000
Experienced: £30,000 to £50,000
Highly Experienced: £50,000 to £70,000
Many companies also offer bonuses and share schemes for successfully completing projects.
These figures are a guide.
5. Working hours, patterns and environment
Working hours in the computer games industry can vary. In many jobs you’ll work standard office hours, with some unsocial hours (such as evenings and weekends) and overtime to meet deadlines.
You could be based in an office or a studio, depending on your role. You’ll spend most of your time sitting at a computer.
6. Career path and progression
With experience, you could progress to a senior developer, producer or technical director role.
7. Current opportunities
Apprenticeships In England
There are no apprenticeships for computer games tester available at the moment.
Find other apprenticeships near you


Song is very inspiring with a lot of interesting mixture of sounds from beat and voices. Lyrics were very inspiring and shows the level of art the industry has reached. As of numbers it has collected about 70 million views on Youtube making it pretty popular on that platform
My verdict: 10/10
Reviewed by Raimonds Siliņš rs18080
“U Guessed It” is the debut single by American hip hop recording artist OG Maco. The song was released on September 25, 2014 by Quality Control Music and was written by OG Maco and produced by Brandon Thomas. The song peaked at number 90 on the US BillboardHot 100.
| Released | September 25, 2014 |
|---|---|
| Recorded | 2014 |
| Genre | Hardcore hip hoptrap |
| Length | 2:26 (single version) 3:30 (extended version) |
| Label | Quality Control |
| Songwriter(s) | Benedict Ihesiaba, Brandon Ray Thomas |
| Producer(s) | Brandon Thomas |


--- layout: post title: "Mutts are the new top dogs" ---
Growing numbers of dog lovers are rejecting the pursuit of pedigrees to embrace instead what can only be called mongrels or mutts. Short-haired or long, tiny or tall, mixed-breed dogs of uncertain background are enjoying unprecedented popularity. "It's more fashionable to have a standard, old-fashioned mutt," says Michael Mountain of Best Friends Animal Society in Kanab, Utah, the USA's largest animal shelter. "The 'in' thing is not to have a very well-bred, very expensive dog."Link to the full article. I'm the father of a mutt. She's the most wonderful dog in the world.


Smart Agriculture
By Ashish Ranjan And Suparna
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How it Works
Hiring a drone (pilot included) is like shopping for anything else online.
The drone marketplace lists the services available from local Drone Pilots, when you find what you’re looking for, checkout as you would at any other store. Once you checkout, a message will be sent to the Drone Pilot, who will confirm your order, and arrange a time with you to perform the service (think of it like arranging an appointment with a roofer, or plumber, or gardener).
Similar to other sites, Drone Pilots are rated based on the experiences of their buyers, so you can see the reputation of the Pilot, and how satisfied previous buyers were.
Dronopy is free to signup.
What Drones can do?
Drones are essentially flying robots, which have cameras or other sensors attached. The most common setup is for the drone to have a high-definition camera attached, in order to take high quality video, or pictures from the air.
Personal uses:
- Video - High quality video of your home/property, aerial video from a distance of your special event, or video of activities with your sports activity (like skiing in the mountains)
- Photo - Same as above, with HD or higher quality photos from the air. Selling your house? Some aerial photos can really make the listing stand out. Even 3D maps are possible.
Business uses:
- Video - Create a series of videos showing a flyover of every hole of your golf course.
- Photo - Create an aerial photo map of your property or farm, similar to google maps, and track changes over time.
- Construction - Create photo maps and inspect sites from the air.
- Volumetric Analysis, 3D Point Clouds, Multispectral and more...
Safety
Safety is the top priority, for you, and Drone Pilots.
If at any time you or the Pilot feels that something unsafe is happening, either party can put a stop to the activity, and Walk Away. This includes ‘stunt’ flying, flying too close to people, or violating the privacy of others.
Walk Away Guarantee
If you find your experience with the Drone Pilot to be unsatisfactory, for whatever reason, during the flight of the drone, you walk away at any time and receive a full refund. This is important to ensure that safety is followed at all times, if there is any concerns over the safety of the flight, or of the requests being unsafe, either side end the flight and walk away, without a problem.
Even with the great strides in technology and safety (some Drones come with backup flight systems for example), accidents are possible, and most are preventable, it is in everyone’s best interest to minimize the chance of it occurring.


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We provide intense competitive environment to enrich your study skills.
We provide inspirational and motivational classes lectures free of cost.
Features or Our Rules those will provide you great help to build better career.
Group study environment to apply collaborative approach around the problem.
Our Facility for Student login provides various features to handle your exam schedules as well as results.
Our way of teaching will guide you through better way to solve problems in limited time.
We provide free stationary to all students.


EPA Climate Change and Water News features news and information from EPA and other federal agencies related to climate change and water. Partner activities, as well as related events and publications, are also included. The newsletter is sent out approximately every two weeks to subscribers. Issues from the past three months are available below.
- To submit an item for EPA Climate Change and Water News, provide feedback, or contact us with questions:
Send an email to<EMAIL_ADDRESS>EPA Climate Change and Water News: Recent Editions
Below are past issues of the newsletter. To download a newsletter, click on an issue or scroll to the bottom of the page.
- EPA Updates the State Water Agency Practices for Climate Adaptation Webpage
- EPA and U.S. Geological Survey Release Report on Protecting Aquatic Life from Effects of Hydrologic Alteration
- Explaining Extreme Events from a Climate Perspective
- Bureau of Reclamation Seeking Letters of Interest to Participate in WaterSMART Basin Study
- Secretarial Order on Actions to Address Effects of Drought and Climate Change
- NOAA Water Initiative
- Progress Toward Restoring the Everglades: The Sixth Biennial Review
- Rain as a Resource: St. Paul, MN Innovates Shared, Sustainable Stormwater Management
- EPA Releases Updated Federal Interagency Report on Freshwater Resources in a Changing Climate
- Climate and Health Assessment Kits Now Available from EPA
- EPA Launches Water Progress Storymap
- White House Announces Actions to Protect Natural and Cultural Resources in Alaskan Arctic Ocean
- A New Interactive Education Module on Climate Change Responses
- Landscape Conservation Cooperative Network Story Map
- How Transit Agencies Are Prepping for the Next Big Storm
- 2017 National Environmental Justice Conference and Training Program
- Climate Change, Hydrology, and Fish Morphology
- Building the Next Generation of Climate Justice Leaders
- EPA Training Module “Understanding Climate Change Impacts on Water Resources”
- 1.3 Million Awarded for Community-Based Projects to Improve Health and Ecosystem of Long Island Sound
- EPA Provides $149,000 for Environmental Improvements in San Juan, Puerto Rico
- Rebuilding Healthy Homes Guide to Post-Disaster Restoration for a Safe and Healthy Home
- NOAA Research Links Human-Caused CO2 Emissions to Dissolving Sea Snail Shells Off U.S. West Coast
- Building Resilience to Climate Change One Landscape at a Time
- Take A Deeper Look into the 2010-2015 Texas Drought Through this New Interactive Web App
- Safeguarding Our Cultural Past from Climate Change at Cape Lookout
- Building Resilience in the San Francisco Bay Region
- Climate Adaptation: The State of Practice in U.S. Communities
- Study Shows Ocean Acidification is Two-Front Assault on Coral Reefs
- A How-To Guide for Co-Production of Actionable Science
- Report Highlights Lessons from the Rebuild by Design Competition
- EPA Launches New Guide for Long-Term Stormwater Planning
- EPA to Host Webinar Series on Financing Disaster Recovery and Resilience Mitigation for Water and Wastewater Utilities
- EPA Releases the Environmental Justice 2020 Action Agenda
- EPA Awards $3.9M to University of Texas for Water Infrastructure Modeling Research Center
- White House Council on Climate Preparedness and Resilience Releases Report on Federal Resilience Opportunities
- NOAA Funding Opportunity for Climate-Related Fisheries Research
- New Publication on Climate Change and Indigenous Peoples
- Ecological Drought in the South Central United States
- Signatures of Extreme Precipitation Events in the Western U.S.
- Storm Wave Study Could Help Improve Design of Coastal Defenses
- Marine Carbon Sinking Rates Confirm Importance of Cold Water Oceans
- EPA Awards More than $4 Million for Three Projects to Protect and Restore San Francisco Bay
- New Section of the CRT Helps Cities and Towns Build Resilience
- Updated SECURE Water Act Report to Congress
- NOAA Awards $44 Million for Climate Research to Improve Community Resilience
- Environmental Protection: Information on Federal Agencies’ Expenditures and Coordination Related to Harmful Algae Report
- Nominations Open for Climate Adaptation Leadership Award
- Subdivision Design and Flood Hazard Areas Guide
- The Cost of Alternative Water Supply and Efficiency Options in California
- Michigan Office of the Great Lakes Releases Final Part of State Water Strategy
- Water Hotspots for Agriculture: The Southwest United States
- New Web Portal to Help Communities Prepare for Climate Change
- Building the Next Generation of Climate Justice Leaders
- $1.3 Million to Revitalize America’s Urban Waters and Surrounding Communities
- EPA Awards $1.2 Million in Environmental Justice Collaborative Problem-Solving Cooperative Agreements
- EPA Offers Assistance to Help Rural Communities Revitalize Downtowns
- Release of Southeast Climate Science Center Synthesis Report
- NOAA and Sea Grant Fund $800,000 in Research to Understand Effects of Ocean Changes on Iconic Northeast Marine Life
- DoD Decision Making and Climate Change Webinar on October 20
- Identifying Drought Risks and Impacts in the Northeast and Midwest
- NOAA Awards $2.5M to Build Community Resilience
- New Pacific Islands Regional Climate Assessment Website
- New Report Explaining Ocean Warming
- Future Fisheries Can Expect $10 Billion Revenue Loss Due to Climate Change
- EPA Launches the Climate Resilience Evaluation and Awareness Tool (CREAT) Version 3.0
- EPA Awarded GreenGov Presidential Sustainability Awards
- EPA Announces Over $4.6 Million in Grants for Coastal Watersheds in Southeast New England
- New EPA Study Supports the Long-term Benefits of Green Infrastructure
- New Public-Private Partnership Helps Leverage Open Data to Build Climate Resilience
- President Obama Takes a Historic Step to Address the National Security Implications of Climate Change
- Climate Change Increased Chances of Record Rains in Louisiana by at Least 40%
- Arctic Sea Ice Ties for 2nd Lowest in 2016
- Georgetown Climate Center Releases New Green Infrastructure Toolkit
- A Community Guide for Evaluating Future Urban Water Demand
- Climate Change Increasing Beach Salinity
- Great Lakes Warming Faster in Certain Regions
- EPA Releases New Report on Green Infrastructure and Climate Change
- EPA Kicks Off Fifth Annual Campus RainWorks Challenge
- New Climate Projections Aim to Better Represent Extreme Events
- Fourth National Climate Assessment Author Nominations and Technical Inputs
- Shifting Sport Fish Populations Under Climate Change
- Atmospheric River Landfall-Latitude Changes in Future Climate Simulations
- Fish Adjusting Body Defenses to Deal with Acidification
- Urban Stream Quality Assessment Model
- Rising Tides: Designing Resilient Amenities for Coastal Cities
- Review of the Significance of Dissolved Methane on Wastewater Treatment
- Successful Simulation of the Pineapple Express
- EPA Releases New Fact Sheets on Climate Change
- EPA Hazard Mitigation for Natural Disasters
- U.S. Tribes Work with Scientists to Adapt to Climate Change
- NOAA Launches America's First National Water Forecast Model
- August 2016: Extreme Rain and Floods Along the Gulf Coast
- Considering Climate Change for Coastal Adaptation
- Forests, Droughts, & Water: Challenges for the Future
- $7 Million National Science Foundation Grant
- Developing a Snow Monitoring Network in a Forested Mountain Watershed
- Headwater Streams May Export More Carbon Than Previously Thought
- Snowmelt Rate Dictates Streamflow
- Erie County Town Receives Funding to Improve Water Quality in Lake Erie
- NOAA Releases Updated Climate Explorer Tool
- White House Promotes EPA Innovation Challenges to Reduce Nutrients in Waterways
- NOAA Releases Updated Digital Coast Website
- Agriculture and Natural Resources Science for Climate Variability and Change Challenge Area
- Climate Change Impacts on Streamflows in the Pacific Northwest
- $10 Million Grants Program to Build Healthy, Resilient Coastal Communities
- 2016 Report Outlines U.S. Military on the Front Lines of Rising Seas
- New Jersey Climate Adaptation Alliance Releases Report on Climate Change
- New Online Tool for Exploring Sea Level Rise and Flood Risks
- Long-Term Pacific Climate Cycle Linked to Expansion of Antarctic Sea Ice
- EPA Releases 2016 Climate Change Indicators Report
- EPA Leads New Effort to Improve America’s Aging Infrastructure
- EPA Announces Fifth Annual Campus RainWorks Challenge
- Webcast on EPA Hydrologic and Water Quality System (HAWQS) Beta Modeling System – August 16
- Using Climate Impacts to Strengthen Decision Making
- New Statistically Downscaled Climate Data for the Conterminous U.S.
- NOAA Releases 2015 State of the Climate Report
- Report Published on Engaging the Public on Sea Level Rise and Inundation
- National Weather Center Survey on Heavy Rainfall
- New Georgetown Climate Center Adaptation Clearinghouse
- Drought and Equity in the San Francisco Bay Area
- Climate Ready Estuaries Program Adds Sea Level Rise Resources to Website
- Webcast on EPA Hydrologic and Water Quality System (HAWQS) Beta – August 16
- U.S. Global Climate Research Program Seeks Public Comment on Outline for Fourth National Climate Assessment by July 29
- White House Announces Champions of Change for Climate Equity
- NOAA Develops Guide for Considering Climate Change in Coastal Conservation
- U.S. Experienced At Least 8 Billion-Dollar in Disasters So Far this Year
- NOAA Announces $4.5M in Funding for New Observing Technologies for ENSO Research and Predictions
- New Studies Show Climate Change is Affecting North American Fish
- Report Released on Managing Water in California and Australia During Drought
- Part 3 in Series on National Park Service and Climate Change: “Sea-Level Rise Could Wash Away Our Natural and Cultural History”
- Journal Article: Ocean Acidity to Blame for Thinning Mussel Shells
- Public Comments on "Priorities for Managing Freshwater Resources in a Changing Climate" Due July 15
- U.S. Geological Survey: Climate Science Center (Re)Competition Closing July 19
- Assessing the Vulnerability of Karst Aquifers to Climate Change
- Webinar July 21: Science and Tools for Drought Preparedness with the Wind River Reservation
- Gulf of Mexico Alliance Releases Third Governors' Action Plan for Healthy and Resilient Coasts
- U.S. Fish and Wildlife Service: Marine Communities Impacted by Extreme Climate Events, Statement of Interest; Due Aug. 1
- National Science Foundation: Prediction of and Resilience against Extreme Events; Letters of Intent Due July 29
Click on a file below to download a past newsletter
You will need Adobe Reader to view some of the files on this page. See EPA’s About PDF page to learn more.- EPA Climate Change and Water News 1/10/2017 (PDF)(3 pp, 116 K)
- EPA Climate Change and Water News 12/14/16 (PDF)(3 pp, 115 K)
- EPA Climate Change and Water News 12/1/16 (PDF)(4 pp, 129 K)
- EPA Climate Change and Water News 11/10/16 (PDF)(4 pp, 242 K)
- EPA Climate Change and Water News 10/27/16 (PDF)(3 pp, 117 K)
- EPA Climate Change and Water News 10/13/16 (PDF)(4 pp, 122 K)
- EPA Climate Change and Water News 9/29/16 (PDF)(4 pp, 139 K)
- EPA Climate Change and Water News 9/15/16 (PDF)(3 pp, 121 K)
- EPA Climate Change and Water News 8/31/16 (PDF)(3 pp, 134 K)
- EPA Climate Change and Water News 8/17/16 (PDF)(3 pp, 116 K)
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- EPA Climate Change and Water News 7/21/16 (PDF)(3 pp, 120 K)
- EPA Climate Change and Water News 7/7/16 (PDF)(3 pp, 113 K)


Can be used to execute a function. For example:
var result = doSomething()
Can also used to surround conditional statements like so:
if (count > 1) { CallFunction }
Parentheses are also used to control the order of operations:
(5 * 2(4 +2))
Brackets [ ]Brackets can be used when you want to access the properties of an object. For example say you were describing an object called 'cat'
var cat = {name:'fluffy',colour:'grey'};
To get the colour of cat you can type:
cat['colour']
Brackets can also be used when accessing the properties of an array:
myArray[2]
Braces { }Braces are used when you are describing an object in your code. You can see this in the cat example:
var cat = {name:'fluffy',colour:'grey'};
Braces are also used when you need to seperate parts of code. For example you would need to enclose some of your code with braces when defining a function:
var testFunction = function() {console.log("Some text")}
Single quotes ''You can use single quotes when dealing with string variables. For example if you wanted to say 'Hello' you can write:
console.log('Hello');
Double quotes ""Double quotes can also be used when dealing with string variables. It is useful to combine single and double quotes in situations like the following:
console.log("He said 'Hello' to her");
Double quotes must always be used when referring to an element in JSON object.


My name is Nicola Chivers i am 26 years old, mum of 3 young children
and i am currently training to become a Web Developer!
Tribute Page
FreeCodeCamp Survey
Fake Google Homepage
Technical Documentation Page
Product Landing Page
You can find me on...
The rest coming soon!
Social Media
You can find me on...
The rest coming soon!


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Reports calls to and implementations of the clone() method and uses of java.lang.Cloneable.
Some coding standards prohibit clone() usage, and recommend using a copy constructor or static factory method.
Calls to clone() on arrays are ignored, because that is a common, correct, efficient and compact way to copy an array.


takes either a goal pose or a trajectory and passes local goals to the MPC controller to try to make the controller follow it. More...
Public Member Functions | |
| def | __init__ |
| Constructor. | |
| def | initCody |
| Initialise 3DOF Sim kinematics. | |
| def | initPR2 |
| Initialise PR2 kinematics. | |
| def | initSim3 |
| Initialise 3DOF Sim kinematics. | |
| def | initComms |
| Initialise all publishers/subscribers used by the waypoint generator. | |
| def | goalPoseCallback |
| Update goal pose. | |
| def | robotStateCallback |
| Store the current pose from the haptic state publisher. | |
| def | poseTrajectoryCallback |
| Store a trajectory of poses in the deque. | |
| def | jointTrajectoryCallback |
| Store a joint angle trajectory in the deque. | |
| def | straightLineTrajectory |
| Returns the next waypoint along a straight line trajectory from the current gripper pose to the goal pose. | |
| def | getPositionStep |
| Returns a linearly interpolated step towards the goal pos from the current pos. | |
| def | getOrientationStep |
| Returns a linearly interpolated step towards the goal orientation from the current orientation (using SLERP) | |
| def | getMessageHeader |
| Returns a message header (std_msgs object), populated with the time, frame_id and sequence number. | |
| def | distanceBetweenPoses |
| Euclidian distance between two poses. | |
| def | angularDistanceBetweenPoses |
| Return the angle between two quaternions (axis-angle representation) | |
| def | getWaypointFromTrajectory |
| Try to get a waypoint pose from the trajectory deque. | |
| def | generateWaypoint |
| Publishes the next waypoint for the control to try to achieve. | |
| def | start |
| Start the waypoint generator publishing waypoints. | |
Public Attributes | |
| robot_kinematics | |
| tf_listener | |
| pose_waypoint_pub | |
| pose_traj_viz_pub | |
| joint_angles | |
| current_trajectory_msg | |
Static Public Attributes | |
| node_name = None | |
| opt = None | |
| float | rate = 25.0 |
| int | msg_seq = 0 |
| string | param_path = "" |
| string | base_path = "/haptic_mpc" |
| string | cody_param_path = "/cody" |
| string | pr2_param_path = "/pr2" |
| string | sim_param_path = "/sim3" |
| string | simcody_param_path = "/simcody" |
| string | current_pose_topic = "/haptic_mpc/robot_state" |
| string | goal_pose_topic = "/haptic_mpc/goal_pose" |
| string | goal_pose_array_topic = "/haptic_mpc/goal_pose_array" |
| string | waypoint_pose_topic = "/haptic_mpc/traj_pose" |
| robot = None | |
| robot_name = None | |
| sensor = None | |
| eq_gen_type = None | |
| string | default_eq_gen_type = 'mpc_qs_1' |
| skin_topic_list = None | |
| scl = None | |
| epcon = None | |
| float | max_pos_step = 0.05 |
| float | max_ang_step = 0.02 |
| float | at_waypoint_threshold = 0.02 |
| tuple | at_waypoint_ang_threshold = numpy.radians(5.0) |
| tuple | current_trajectory_deque = collections.deque() |
| gripper_pose = None | |
| goal_pose = None | |
| current_gripper_waypoint = None | |
| tuple | traj_lock = threading.RLock() |
| tuple | goal_lock = threading.RLock() |
| tuple | state_lock = threading.RLock() |
takes either a goal pose or a trajectory and passes local goals to the MPC controller to try to make the controller follow it.
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.__init__ | ( | self, | |
| node_name, | |||
| opt | |||
| ) |
Constructor.
Calls functions to initialise robot specific parameters, then initialises all publishers/subscribers.
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.angularDistanceBetweenPoses | ( | self, | |
| poseA, | |||
| poseB | |||
| ) |
Return the angle between two quaternions (axis-angle representation)
| poseA | geometry_msgs.msg.Pose |
| poseB | geometry_msgs.msg.Pose |
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.distanceBetweenPoses | ( | self, | |
| poseA, | |||
| poseB | |||
| ) |
Euclidian distance between two poses.
Ignores differences in orientation.
| poseA | geometry_msgs.msg.Pose |
| poseB | geometry_msgs.msg.Pose |
Publishes the next waypoint for the control to try to achieve.
If we have a valid trajectory, get the next waypoint from that. If not and we have a valid end goal pose instead, move in a straight line towards it. If we have neither, don't publish anything.
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.getOrientationStep | ( | self, | |
| q_h_orient, | |||
| q_g_orient, | |||
| max_ang_step | |||
| ) |
Returns a linearly interpolated step towards the goal orientation from the current orientation (using SLERP)
| q_h_orient | Current hand orientation as a quaternion in numpy array form (assumed to be [x,y,z,w]) |
| q_g_orient | Current goal orientation as a quaternion in numpy array form (assumed to be [x,y,z,w]) |
| max_ang_step | A scalar max step size for orientation (in radians). |
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.getPositionStep | ( | self, | |
| current_pos, | |||
| goal_pos, | |||
| max_pos_step | |||
| ) |
Returns a linearly interpolated step towards the goal pos from the current pos.
| current_pos | Current position as a numpy array (assumed to be [x,y,z]) |
| goal_pos | Goal position as a numpy array (assumed to be [x,y,z]) |
| max_pos_step | A scalar max step size for position (in metres). |
Try to get a waypoint pose from the trajectory deque.
Also trims the trajectory to reduce the number of waypoint. Scans through the trajectory to find the next pose that is at least max_pos_step away (or the last pose in the deque).
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.goalPoseCallback | ( | self, | |
| msg | |||
| ) |
Update goal pose.
| msg | A geometry_msgs.msg.PoseStamped object. |
Initialise 3DOF Sim kinematics.
NB: This doesn't actually do anything and is added mostly for structural consistency.
Initialise all publishers/subscribers used by the waypoint generator.
Initialise PR2 kinematics.
NB: Only used for joint limits, will eventually be removed once these are passed with the robot state.
Initialise 3DOF Sim kinematics.
NB: This doesn't actually do anything and is added mostly for structural consistency.
Store a joint angle trajectory in the deque.
Performs forward kinematics to convert it to end effector poses in the torso frame.
| msg | A trajectory_msgs.msg.JointTrajectory object. |
Store a trajectory of poses in the deque.
Converts it to the 'torso_frame' if required.
| msg | A geometry_msgs.msg.PoseArray object |
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.robotStateCallback | ( | self, | |
| msg | |||
| ) |
Store the current pose from the haptic state publisher.
| msg | RobotHapticState messge object |
Start the waypoint generator publishing waypoints.
| def hrl_haptic_mpc.waypoint_generator.WaypointGenerator.straightLineTrajectory | ( | self, | |
| current_pose, | |||
| goal_pose, | |||
| max_pos_step, | |||
| max_ang_step | |||
| ) |
Returns the next waypoint along a straight line trajectory from the current gripper pose to the goal pose.
The step size towards the goal is configurable through the parameters passed in.
| current_pose | geometry_msgs.msg.Pose |
| goal_pose | geometry_msgs.msg.Pose |
| max_pos_step | = scalar float for position step size to take (metres) |
| max_ang_step | = scalar float for orientation step size to take (radians) |


Quick Start¶
Requirements¶
python >= 3.6
django >= 2.2
djangorestframework (tested against 3.11)
Installation¶
installing with pip
pip install django-data-validation
In your project, add rest_framework
and datavalidation
to INSTALLED_APPS
INSTALLED_APPS = (
...
"rest_framework",
"datavalidation.apps.DataValidationConfig",
...
)
from your project directory run the database migrations
./manage.py migrate datavalidation
When running the django-admin server the static files for the datavalidation admin will be served automatically (assuming “django.contrib.staticfiles”
is in INSTALLED_APPS
). Otheriwse, you should also run
./manage.py collectstatic
Basic Usage¶
On any django model that has data that you would like to validate, add a method decorated with @data_validator
that returns PASS
, FAIL
or NA
. For instance if you have a model with a start and end time, you can add a data_validator to check that the start time is always before the end time
from django.db import models
from datavalidation import data_validator, PASS, FAIL, NA
class YourModel(models.Model):
...
start_time = models.DateTimeField()
end_time = models.DateTimeField(blank=True, null=True)
...
@data_validator
def check_start_time(self):
""" check that the start time is before end time """
if self.end_time is None:
return NA("end time not set")
elif self.start_time < self.end_time:
return PASS
else:
return FAIL("end time is before start time!")
To run the validation for all models
./manage.py validate
or for a specific model
./manage.py validate yourapp.YouModel
See Writing Data Validators for more details and examples of data validators
Optionally, you can add the data_validaiton.models.DataValidationMixin
to your models to provide some additional methods for querying the validation results
from datavalidation.models import DataValidationMixin
class YouModel(DataValidationMixin, models.Model):
...
# in a shell
print(YouModel.datavalidation_status)
>>> Status.PASSING # hopefully :)
Finally, you can also add data_validaiton.admin.DataValidationMixin
to your django admin classes to review the data in the admin. See Setting up the Admin for details.


Before completing a mortgage application or even strolling through an open house, there is a lot to consider
Income: Review monthly income including your co borrower if you have one
Loans: Consider your total monthly debt payments including auto and student loans, credit card minimum payments etc.
Credit: Review your credit score, resolve any credit issues in the past few years, a credit score is very important but not the only means to approval.
Affordability: How much house you can afford, and how much are you comfortable paying, these are two different things!
Down Payment: How much cash you can put down, some loan types require a down payment and others do not. It's best to research and do your due diligence to find the best options for you.
Closing Cost: Don't forget closing cost! Closing cost can sneak up on you and can also be a burden on your bank account.
Who is HappyHomeMortgage Company?
HappyHomeMortgage Company is a trio of talented students who have completed an intense program at University of Central Florida with Trilogy Education Services called Data Analytics and Visualization Boot Camp.
This website is a reflection of our collaborated effort and it is our final project. The project is based around Demystifying Machine Learning, and includes the following technologies:
Python Pandas
Matplotlib/Numpy/Seaborne
HTML/CSS/BOOTSTRAP
JavaScript/D3.js
Machine Learning using SKlearn
JupyterLab
VSCode
We will briefly review the process for this project
Data Review: The first step is review and clean the data we did this using Jupyter Lab.
Data Cleaning: The process begins by removing all NAN or null values that could affect the machine learning once we get to that part of the process.
Select the Features: Once the cleaning process has completed, now we select the columns that we plan to use for plotting and Machine Learning.
Plotting the Data: Plotting the data is important because it provides a way to look at the data as a visual, sometimes this helps to understand if more changes are needed with the previous processes mentioned above.


A visualization of greenhouse gas emissions from animal agriculture, built with D3.
Where I did I get the data from?
The Food and Agriculture Organization of the United Nations Statistics Division provided the raw numbers, which I divided into different categories of interest.


Everything Else
Projects
Things I do, including research, academic course projects, and miscellaneous interests.
Blog
Things I think about, read, and write.
Stuff I Use
Inspired by projects like The Setup, here is the stuff I use.
Monthly Music
I’ve been sharing music with friends for as long as I can remember, so I started making monthly public playlists for anyone who wants to tune in. Each playlist features ten tracks and with an accompanying Spotify playlist. For fans of indie rock, electronic music, and related genres.
Archive
The one-stop shop, including all posts from the Blog, Monthly Music, and Projects.


{% extends "goals/base.html" %} {% block title %}Delete Organization{% endblock %} {% block breadcrumbs %}


Movie reviews: 2019 Cinema One Originals films Part 1
Oggs Cruz's review 'Sila, Sila,' 'Tia Madre,' 'Tayo Muna Habang Hindi Pa Tayo,' and 'Utopia'
by Oggs CruzSubscribe
Email Address
Newsletters
- Glenda Gloria's Take this Tuesday
- Huddle by Miriam Grace Go
- The Newsbreak Agenda by Chay Hofileña
- Sometimes, all you need is video by Lilibeth Frondoso


just my musings...
The one with the Functional vs Object-Oriented Programming
10/26/2014 :: Phase 0 Week 6
"Know-How"
In this post, I'll be going through a simple overview of the difference between Functional versus Object-Oriented Programming. There are many more types of programming out there in the world (it's kind of crazy how many there are!). But the key thing to keep in mind is that these types of programming styles are there to use so that you can ultimately write code that is the most functional for your objective. In the past 6 weeks of my DBC journey we've practiced both functional and object-oriented programming.
Functional Programming
Functional programming to put in simple terms is a type of programming in its most basic form. It's purpose is single dimensional and usually used in cases to calculate arithmetic. Simple problems with ultimately just one moving piece. These are great for particularly specific portions of your program that you can add into the larger scheme of your code. Remember, when you're coding, you normally don't just stick to one style. You use whatever helps you get the job done.
An simple example of this would be creating a pyramid of stars:
def pyramid(size) if size > 0 size.times do print "*" end size -= 1 puts pyramid(size) end end
Object-Oriented Programming
Object-Oriented Programming (OO Programming) on the other hand is a whole other beast. This style is used when you have many moving parts to a problem. Usually this will include using things such as classes, modules, instance variables, global variables, instance methods, etc. OO Programming involves multiple variables being used and manipulated to get the data you may need. This is one of the most common style of programming and has been emphasized as such in DBC (we've spent about a good 1.5 weeks on this stuff!). An example of OO programming would be soemthing like our Drawer/Silverware challenge this week at DBC. We have a class called Drawer and a separate class called Silverware. A variable is named for each instance of Silverware of which creates a type that gets added to the one instance of drawer.
And that my friends concludes my spiel on Functional versus OO programming! Until next time folks! Have a good one.
main home facebook twitter linkedin


Prosecutors Release Crime Scene Photos from YNW Melly Shooting
by VladTVAccording to reports, photos from the crime scene of the alleged YNW Melly shooting were presented during a bail hearing for the rapper’s co-defendant Cortlen Henry. Both of the young men are accused of murdering their friends YNW Sakchaser and YNW Juvy.
Prosecutors at the bail hearing shared photos of the crime scene taken by the Miramar Police Department, which showed different positions of where the bullets went when fired off in the vehicle. The images, along with cellphone tracking data, were presented to prove that Cortlen Henry should be denied bail until he heads to trial. Take a look above.
source: TC Palm


World’s worst air: India’s pollution crisis in perspective
NEW DELHI, Nov 8 — Wildfires have raged across California for about a month and air problems persist in China, but no other place on Earth is battling the scale and severity of the pollution that chokes large swathes of north India.
(Click https://tmsnrt.rs/34BzfaO for an animated world map showing the amount of PM 2.5 particulate matter in the air.)
Peak pollution
Air pollution in New Delhi and surrounding areas reached this year’s worst level on November 3 and 4, with some indices showing PM 2.5 levels at 407 and more than 500 respectively.
Having already declared a public health emergency, authorities in the world’s most polluted capital ordered schools to close and limited the number of cars on the roads.
Beyond the capital
India’s air pollution problem extends far beyond the more than 20 million residents of New Delhi. Its northern belt is one of the most densely populated parts of the planet.
The industrial hub of Kanpur, home to 3 million people, is followed by 13 Indian cities on a World Health Organization (WHO) list of places with the worst air.
Although air quality readings have consistently stayed above 500 for consecutive days, Kanpur, like most other Indian cities, lacks the infrastructure necessary to fight air pollution, and has adopted few emergency measures.
Farming factors
Farmers in India’s breadbasket states of Punjab and Haryana burn off rice paddy straw and stubble every year in preparation for the winter sowing season.
This year, satellites began to detect a significant number of fires in late October. Further analysis of satellite data showed the spike in fires has been shifting later into winter, when lower temperatures and weaker winds swell the accumulation of pollutants.
The shift was pushed by a 2009 policy change intended to save groundwater, which bars farmers from transplanting paddy seedlings until the middle of June, instead of a previous date of mid-May.
Rice is a terribly thirsty crop, and some varieties require almost 5,000 litres of water for every kilogramme of grain produced.
Late sowing means a late harvest. With less time left for the winter crop, farmers tend to burn the straw to get rid of it quickly. High in silica content, paddy straw cannot be used to feed animals.
India’s monsoon also arrived a little late this year. After a June start, it began withdrawing more than a month later than usual, causing yet more delay. — Reuters


|
Id
|
Date
|
Temp. C
|
Summary
|
|---|
| 1 | December 14, 2019 | 12 | Mild |
| 2 | December 10, 2019 | 54 | Warm |


{% extends "base.html" %}
{% block title %}{{ super() }}About{% endblock %}
{% block body %}
{{ super() }}
{{ applicationNameShort }} is a flexible honeypot for (industrial) environments that runs on a Raspberry Pi. It was developed by Willem Van Iseghem for the Master thesis at the Fachhochschule St. Pölten in 2016. Limes Security GmbH sponsored the thesis by providing the necessary hardware.
This instance of {{ applicationName }} is running version {{ applicationVersion }}. More information about the version can ge found on the GitHub repository.
{{ applicationName }} is released under the ICS (permissive) license and can be found on GitHub: PiPot on GitHub.
{{ applicationNameShort }} makes use of the next frameworks & open-source utilities:
Thanks to voyeg3r and Ronit from openclipart.org for their contributions, which made the logo possible.
Raspberry Pi is a trademark of the Raspberry Pi Foundation.


To get started you will need to create an acount.it will enable you to create the orders ,to cancel them when you no longer need the services you applied.
Once you hit order you will need to pay for your order and to pay is simple. You will need to use your smart card or mobile money or airtel money.


Represents a 2D size.
More...
#include <Size.hpp>
|
| constexpr | Size (T width, T height) |
| | Constructor that creates a new size. More...
|
| |
| constexpr bool | operator== (const Size< T > &other) const |
| | Compute the equality between two sizes. More...
|
| |
| constexpr bool | operator!= (const Size< T > &other) const |
| | Compute the non-quality between two sizes. More...
|
| |
| constexpr Size< T > | operator+ (const Size< T > &other) const |
| | Add each component of two sizes to create a new one. More...
|
| |
| constexpr Size< T > | operator- (const Size< T > &other) const |
| | Subtract each component of the given size to the current one. More...
|
| |
| constexpr Size< T > | operator* (const Size< T > &other) const |
| | Multiply each component of the two sizes to ceate a new one. More...
|
| |
| constexpr Size< T > | operator/ (const Size< T > &other) const |
| | Divide each component of the given size to the current one. More...
|
| |
| constexpr T | getWidth () const |
| | Get size on X axis. More...
|
| |
| constexpr T | getHeight () const |
| | Get size on Y axis. More...
|
| |
template<Arithmetic T>
class iksdl::Size< T >
Represents a 2D size.
- Template Parameters
-
| T | Type of the size components |
◆ Size()
Constructor that creates a new size.
- Parameters
-
| width | Size on X axis |
| height | Size on Y axis |
◆ getHeight()
Get size on Y axis.
- Returns
- Height
◆ getWidth()
Get size on X axis.
- Returns
- Width
◆ operator!=()
template<Arithmetic T>
| constexpr bool iksdl::Size< T >::operator!= |
( |
const Size< T > & |
other | ) |
const |
|
inlineconstexpr |
Compute the non-quality between two sizes.
Sizes are different when the widths or the heights (or both) are different.
- Parameters
-
- Returns
- True if the sizes are not equal
◆ operator*()
Multiply each component of the two sizes to ceate a new one.
- Parameters
-
- Returns
- New size that is the multiplication of the current size and the given one
◆ operator+()
Add each component of two sizes to create a new one.
- Parameters
-
- Returns
- New size that is the sum of the current size and the given one
◆ operator-()
Subtract each component of the given size to the current one.
- Parameters
-
- Returns
- New size that is the subtraction of the current size and the given one
◆ operator/()
Divide each component of the given size to the current one.
- Parameters
-
- Returns
- New size that is the division of the current size and the given one
◆ operator==()
template<Arithmetic T>
| constexpr bool iksdl::Size< T >::operator== |
( |
const Size< T > & |
other | ) |
const |
|
inlineconstexpr |
Compute the equality between two sizes.
Sizes are equal when both their width and height are equal.
- Parameters
-
- Returns
- True if the sizes are equal
The documentation for this class was generated from the following file:


Access exFat partitions on raw file devices.
More...
#include <ExFatPartition.h>
Access exFat partitions on raw file devices.
| uint32_t ExFatPartition::bytesPerCluster |
( |
| ) |
|
|
inline |
- Returns
- the number of bytes in a cluster.
| uint8_t ExFatPartition::bytesPerClusterShift |
( |
| ) |
|
|
inline |
- Returns
- the power of two for bytesPerCluster.
| uint16_t ExFatPartition::bytesPerSector |
( |
| ) |
|
|
inline |
- Returns
- the number of bytes in a sector.
| uint8_t ExFatPartition::bytesPerSectorShift |
( |
| ) |
|
|
inline |
- Returns
- the power of two for bytesPerSector.
| uint8_t* ExFatPartition::cacheClear |
( |
| ) |
|
|
inline |
Clear the cache and returns a pointer to the cache. Not for normal apps.
- Returns
- A pointer to the cache buffer or zero if an error occurs.
| uint32_t ExFatPartition::clusterCount |
( |
| ) |
|
|
inline |
- Returns
- the cluster count for the partition.
| uint32_t ExFatPartition::clusterHeapStartSector |
( |
| ) |
|
|
inline |
- Returns
- the cluster heap start sector.
| uint32_t ExFatPartition::fatLength |
( |
| ) |
|
|
inline |
- Returns
- the FAT length in sectors
| uint32_t ExFatPartition::fatStartSector |
( |
| ) |
|
|
inline |
- Returns
- the FAT start sector number.
| uint8_t ExFatPartition::fatType |
( |
| ) |
const |
|
inline |
- Returns
- Type FAT_TYPE_EXFAT for exFAT partition or zero for error.
| uint32_t ExFatPartition::freeClusterCount |
( |
| ) |
|
- Returns
- the free cluster count.
| bool ExFatPartition::init |
( |
BlockDevice * |
dev, |
|
|
uint8_t |
part |
|
) |
| |
Initialize a exFAT partition.
- Parameters
-
| [in] | dev | The blockDevice for the partition. |
| [in] | part | The partition to be used. Legal values for part are 1-4 to use the corresponding partition on a device formatted with a MBR, Master Boot Record, or zero if the device is formatted as a super floppy with the FAT boot sector in sector zero. |
- Returns
- The value true is returned for success and the value false is returned for failure.
| uint32_t ExFatPartition::rootDirectoryCluster |
( |
| ) |
|
|
inline |
- Returns
- the root directory start cluster number.
| uint32_t ExFatPartition::rootLength |
( |
| ) |
|
- Returns
- the root directory length.
| uint32_t ExFatPartition::sectorsPerCluster |
( |
| ) |
|
|
inline |
- Returns
- the number of sectors in a cluster.
| uint8_t ExFatPartition::sectorsPerClusterShift |
( |
| ) |
|
|
inline |
- Returns
- the power of two for sectors per cluster.
The documentation for this class was generated from the following files:
- ArduinoSdFs/libraries/SdFs/src/ExFatLib/ExFatPartition.h
- ArduinoSdFs/libraries/SdFs/src/ExFatLib/ExFatPartition.cpp


POSTS
About
yt
is a YAML processor in the spirit of jq
and sed.
yt
can work with multi-document YAML files.yt
is VERY experimental - please use with care.
Goals
- Query yaml documents
- Support multi-document files (with
---
separator lines)
- Support multi-document files (with
- Manipulate yaml documents
- Generate yaml
- Merge and combine yaml docs
- Keep yaml separate from looping / conditionals
Why
Yaml seems to be everywhere at the moment, particularly in Ops tooling - see Kubernetes, Terraform, Concourse, Circle CI …
I began writing this tool in 2017, initially to support multi-document files for Kubernetes. I came back to it again to try to generate and manipulate yaml docs for Concourse CI templates.
I wanted a tool to parse and generate yaml. yt helps in some interesting ways.
Acknowledgements
All of the hard stuff was done in go-yaml and in go itself. Thanks all.
yt’s name is deliberately similar to yq and jq. The y is for yaml and the t might be for ‘template’, maybe for ‘tool’, or most likely for ‘tarantosaurus’.
Thanks to gomplate for a wonderful example of a cli tool harnessing go’s text/template. I have borrowed some ideas from gomplate, especially the argument style for data sources and scripts/templates. I did contribute towards gomplate’s templates feature, but the focus of yt is different, so there it is.
Thanks also to Hugo for similar inspiration


Pi3C is a fast, C++ graphics engine and toolkit tailored for all models of the Raspberry Pi and works on other platforms
such as Windows. It's small size and innovative techniques make it fast enough to run highly detailed 3D games; even
on the Pi Zero.
Pi3C is designed to be simple to use and encourage youngsters (or anyone) new to programming by exploring the basic tutorials, games and apps provided.
These range from a few lines of simple, self explained code to more complex, real-world and heavy-weight examples.
Pi3C tries to avoid the complexities of C++ by providing a top-level class called Pi3C. This class has simple commands to help you start your journey into the exciting world of C++
programming. Pi3C's utilizes the 'Simple DirectMedia Layer' (SDL 2.0) cross-platform development library (https://www.libsdl.org/).
Pi3C provides functions to render Open GLES 2.0 graphics using shaders. It also provides a high speed, Immediate Mode Graphics User Interface (IMGUI) with various buttons, text and common
widgets. Using these functions, complex Apps and games can be made with relative ease.
Pi3C will also includes tools for 3D modelling and scene arrangemet with 1st person capabilites for testing scenes such as free flight, point and jump, and full screen renderng. Other
tools planned will include an IMGUI interface designer and C++ code generator that will jump-start your project.
Pi3C is currently under heavy development and functions may/will change over time as new Apps, Games and Demos are developed. These developments will continue to greatly improve, enhance
and simplify the Pi3C graphics engine and speed up your coding.
I hope that you will enjoy your experience with Pi3C as it develops!
Tim Skillman


Would you like to invite friend to this event?
Would you like to send this friend a Rendezvous Request?
Please type your friends email in the box below and then click the Create button.


io.paymenthighway.sdk.model
/
ApiResult
/
OK
OK
val
OK
:
Int
Code value when the api result is successful


I love to solve problems.
I talk too much and move my hands alot while doing so.
I automate the building design and construction process using applied computing, machine learning and data insights.
I am a registered architect. I have over 15 years of experience designing and developing solutions to AEC industry problems.
© 2020 Micah Jude Nickerson @ The Augmented Industrial Corporation.
Icons made by Becris from www.flaticon.com


Kuda Naira MasterCard FAQs
Everything you need to know about our new card.
written by Ora Fakorede
When is the Kuda Naira MasterCard coming?
We’ll start delivering Kuda Naira MasterCards about two weeks from August 7, 2020.
Delivery will be done in batches, with the first batch of cards going to everyone who has been using their Kuda Verve Card frequently.
Who is eligible for a Kuda Naira MasterCard?
Anyone who has upgraded their Kuda account by confirming their BVN (Bank Verification Number) and adding a valid ID card to their Kuda profile can request a Kuda Naira MasterCard.
You can get help with your account upgrade here.
I requested a card last year but I didn’t get one. Can I get a Kuda Naira MasterCard?
Yes, you can.
We’ve already put you on the priority list and you’ll get your Kuda Naira MasterCard after current active card users get theirs.
What will happen to my Kuda Verve Card?
As soon as you get your Kuda Naira MasterCard and activate it, we’ll deactivate your Kuda Verve Card.
Is the Kuda MasterCard free?
Yes, the card is free but you’ll need to have at least 1,000 naira in your Kuda account to request one.
The 1,000 naira is a minimum balance for the card request, not a fee. We will not remove this money from your account.
How will I get my Kuda Naira MasterCard?
We will deliver your Kuda Naira MasterCard to your address free of charge.
Will I have to pay a card maintenance fee?
No, we won’t charge you a card maintenance fee for your Kuda Naira MasterCard.
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public class NominalList extends java.lang.Object implements java.io.Serializable, Cloneable, TextParsable
nominal
, in brief, represented by Nominal
class. A nominal is always in this nominal list and so it has an index in this nominal list.
Nominal list can have hierarchical structure, for example, in the nominal list {fruit, table, apple, orange}, nominal (s) "apple" and "orange" are children of parent nominal "fruit".
Nominal list uses a Map
to store nominal (s) instead of using List
. Such map is referred by the variable map
.
Each entry in this map is a key-value pair in which the value is a nominal and the key indicates the index of such nominal.| Modifier and Type | Field and Description |
|---|---|
protected java.util.Map<java.lang.Integer,Nominal> |
map
The
Map to store all nominal (s). |
| Constructor and Description |
|---|
NominalList()
Default constructor.
|
NominalList(java.util.List<Nominal> list)
Constructor with specified
List of nominal (s). |
| Modifier and Type | Method and Description |
|---|---|
void |
add(Nominal nominal)
Adding a specified nominal at the end of this nominal list.
|
void |
addAll(java.util.List<Nominal> list)
Adding a specified
List of nominal (s) at the end of this nominal list. |
void |
clear()
Clearing this nominal list, which means that removing all nominal (s) this nominal list.
|
java.lang.Object |
clone()
Any class that implements this interface must define this method to clone itself.
|
Nominal |
get(int index)
Getting a nominal at specified index.
|
MinMax |
getMinMaxIndex()
Recall that each nominal represented by
Nominal class has a value and an index in this nominal list. |
java.util.List<java.lang.String> |
getValueList()
Retrieving all value of nominal (s) in this nominal list.
|
boolean |
identity(NominalList list)
Checking whether this nominal list is identical to specified nominal list.
|
int |
indexOf(Nominal nominal)
This method looks up the index of the specified nominal in this nominal list.
|
int |
indexOfValue(java.lang.String nominalValue)
Each nominal represented by
Nominal class has a value and an index in this nominal list. |
static NominalList |
parseNominalList(java.lang.String spec,
java.lang.String sep)
Parsing the specified string into nominal list.
|
void |
parseText(java.lang.String spec)
Converting text into TextParsable object.
|
void |
remove(int index)
Removing a nominal from this nominal list at specified index.
|
int |
size()
Getting the size of this nominal list.
|
java.lang.String |
toString() |
java.lang.String |
toText()
Converting TextParsable object into text.
|
static java.lang.String |
toText(NominalList nominalList,
java.lang.String sep)
This static method converts the specified nominal list into a text string.
|
protected java.util.Map<java.lang.Integer,Nominal> map
Map
to store all nominal (s). Each entry in this map is a key-value pair in which the value is a nominal and the key indicates the index of such nominal.public NominalList()
public NominalList(java.util.List<Nominal> list)
List
of nominal (s).list
- Specified List
of nominal (s).public void add(Nominal nominal)
nominal
- Specified nominal.public void addAll(java.util.List<Nominal> list)
List
of nominal (s) at the end of this nominal list.list
- Specified List
of nominal (s).public void remove(int index)
index
- Specified index at which a nominal is removed from this nominal list.public Nominal get(int index)
index
- Specified index.public int size()
public java.lang.String toText()
TextParsable
toText
in interface TextParsable
public java.lang.String toString()
toString
in class java.lang.Object
public void clear()
public void parseText(java.lang.String spec)
TextParsable
parseText
in interface TextParsable
spec
- Specified text.public java.lang.Object clone()
Cloneable
clone
in class java.lang.Object
public boolean identity(NominalList list)
list
- Specified nominal list.public static NominalList parseNominalList(java.lang.String spec, java.lang.String sep)
sep
.
Each part is text string of a nominal, which is returned of method Nominal.toText()
spec
- Specified string representing nominal listsep
- This input parameter specifies a character or a string to separate many parts of the specified string.public static java.lang.String toText(NominalList nominalList, java.lang.String sep)
sep
.nominalList
- Specified nominal list.sep
- A character or a string to separate parts of returned text string. Each part is text presentation of a nominal.public int indexOfValue(java.lang.String nominalValue)
Nominal
class has a value and an index in this nominal list. Nominal value is a text string representing such nominal.
This method looks up the index of given nominal value.nominalValue
- Specified nominal value.public int indexOf(Nominal nominal)
nominal
- Specified nominal.public java.util.List<java.lang.String> getValueList()
Nominal
class has a value and an index in this nominal list.public MinMax getMinMaxIndex()
Nominal
class has a value and an index in this nominal list.
This method returns the minimum index and the maximum index over all nominal (s) in this nominal list.MinMax
class.


*** This is the DRAFT VERSION 0.3 ALPHA of the Minimum Common Oncology Data Elements (mCODE™) implementation guide. ***
According to the National Cancer Institute, 38.5 percent of men and women will be diagnosed with cancer at some point during their lifetimes. In 2014, an estimated 14.7M people were living with cancer in the United States. While numbers for cancer and other major diseases are staggering in terms of human suffering, such large figures also provide a place to look for potential solutions. The ultimate goal is to establish data models, technologies, and methods that result in research-quality real-world EHR data for every patient that drives evidence-based and data-driven treatment and analytics for high-quality health outcomes. The intent is that this research-quality real-world data would allow the information gathered from all cancers patient to contribute substantially to improving care for all future cancer patients.
Under the leadership of the American Society of Clinical Oncology (ASCO) and in partnership with CancerLinQ and MITRE, a committee of leading clinical experts in oncology is developing mCODE (minimal Common Oncology Data Elements). mCODE consists of a core set of structured data elements necessary to support clinical care and oncology research across all cancers.
Domain content was provided by the ASCO/CancerLinQ team with additional research from the MITRE Corporation. Help, guidance, and wisdom was generously provided by all members of the ASCO/CancerLinQ team, especially the Dr. Robert Miller and Dr. Wendy Rubenstein.
This IG was authored by the MITRE Corporation using the Clinical Information Modeling and Profiling Language (CIMPL), a free, open source toolchain from MITRE Corporation.


JS-CPS is a very simple JavaScript library for converting "normal" synchronous looking code into the Continuation Passing Style that is needed by modern AJAX Javascript
Created by Chris Perkins (c) 2011-2012
JS-CPS is licensed under the MIT license. Which pretty much means you can use it however you like.
Please contribute to its continued success on GitHub. If you use it, it'd be cool to let me know.
Let's say you have written a function named get_server_data and it uses an typical AJAX XmlHttpRequest to fetch something from a server. The important thing about this function is that it last two arguments are a success callback function and an error callback function. The success callback is called with one argument: the data that is retrieved. The error callback argument is optional to our function. Don't worry about it now.
Here is the prototype for such a function. You can click it to see an implementation that uses jQuery.
function get_server_data(url, datav, successf, errorf){
var options = datav ? {data:datav} : {};
options.success = successf;
if(typeof errorf === 'undefined')
{
options.error = function(){ successf(null); };
}
else
{
options.error = errorf;
}
$.ajax(url, options);
}
Now we need to ask the server if the user is logged in. And if they are, as the server for their last project id, if any. And, with that, ask the server for their project data. If the user is not logged in or there is not a project id, then we need to display some login or new project dialogs.
Here is how that code might be written without JS-CPS
function init() { get_server_data('user_logged_in.php', null, function(user_id) { if(!user_id) { display_login(); } else { get_server_data('get_project_id.php', null, function(project_id) { if(!project_id) { display_new_project(); } else { get_server_data('get_project_data.php', {user_id:user_id, project_id:project_id}, function(project_data) { display_project(project_data); }); } }); } }); }
That's a lot of rightward drift! And a lot of anonymous functions. And a lot of });}});}.
The code above is written in something called Continuation Passing Style. Because AJAX calls are asynchronous ( a desirable feature ) whenever you encounter one, the "rest of the operation" (aka the Continuation) that you want to perform once the data is gotten must be wrapped in a callback handler. If you are regularly using jQuery .ajax() or .getScript() or Dojo's xhr object, then you are writing Continuation Passing Style (CPS) code all the time. This is the world we live in. Until now.
JS-CPS is a library for automatically converting seemingly synchronous code into the CPS style you see above. It makes working with Ajax calls much easier. Here is how you would write the above using JS-CPS:
function init() { var user_id = get_server_data('user_logged_in.php', null, {CPS:user_id}); if(!user_id) { display_login(); } else { var project_id = get_server_data('get_project_id.php', null, {CPS:project_id}); if(!project_id) { display_new_project(); } else { var project_data = get_server_data('get_project_data.php', {user_id:user_id, project_id:project_id}, {CPS:project_data}); display_project(project_data); } } }
When run through JS-CPS, the code above will be automatically translated into the CPS style we saw in the first example. The code may look synchronous, but when converted it becomes the asynchronous non-blocking Ajaxy style dreck we all know and hate.
Because that CPS token is itself legal javascript, the pre-transformed JS-CPS code can still be vetted by your favorite code editor for coding mistakes. Stub functions can be used in place of your Ajax calls for testing.
Download it here.
Like CoffeeScript, JS-CPS can be used in one of two modes. You can either embed the transformer directly in your page, and then any <script> tags with type="text/js-cps" will automatically be converted. Or, you write your JS-CPS in external .cps files and run a shell script to convert them to .js files. The latter method is generally preferred.
<script src="jquery_1.5.2_min.js"></script> <script src="js-cps.js"></script> <script>$(document).ready(function(){ convert_all_js_cps(false); });</script>
JS-CPS requires jQuery. Obviously, adjust any needed paths. The last statement runs the conversion script. It'll convert any <script type="text/js-cps"> elements it finds. Those scripts can be inline or refer to external files.
Place the entire js-cps directory in the root of your project directory.
You'll be writing .cps files (example: something-fancy.cps ), but your script tags will refer to files with both a .cps and .js extension. Like so:
<script src="something-fancy.cps.js"></script>
Note, we do NOT use the type="text/js-cps" script type. That is only used when embedding the converter on a page
To transform your .cps files to their .cps.js variants, simply cd to your_project/js-cps/ and execute transform_project.sh
The shell script will run and find all .cps files in your project directory and output matching .cps.js files
Note that the shell script requires the Mac JavaScript command line tool (JSC) to execute.
the transform is pretty straightfoward. Whenever something like this is discovered:
some_fancy_function( arg, {CPS:var_name} ); ....more commands ....and maybe more } //&tl;= the closing brace of the immediate environment where some_fancy_function is located.It becomes this:
some_fancy_function( arg, function(var_name) { ....more commands ....and maybe more }); } //<= the closing brace of the immediate environment where some_fancy_function was located.
Tip: even though in the final code it is irrelevant, it's nice for readability to use var var_name = right before the call to fancy function.
var mission_status = some_fancy_function(arg, {CPS:mission_status}); if(mission_status === 0){ abort_mission(); }
Not every AJAX call can be expected to succeed. There are different strategies for handling errors. Here are two
In this variant on our example function, the callback is called with null if there is an error:
//requires jQuery function get_server_data_v2(url, datav, successf) { var options = datav ? {data:datav} : {}; options.success = successf; options.error = function(){ successf(null); }; $.ajax(url, options); }
The CPS token supports a second argument for specifying the name of an error callback handler. In this case, the function should expect two last arguments. The success callback and the error callback.
Before transformation the code looks like this:
some_fancy_function( arg, {CPS:var_name, ERROR:error_f_name} ); ....more commands ....and maybe more } //<= the closing brace of the immediate environment where some_fancy_function is located.It becomes this:
some_fancy_function( arg, function(var_name) { ....more commands ....and maybe more }, error_f_name); } //<== the closing brace of the immediate environment where some_fancy_function was located.
var errorh = function(obj, status, text){ console.log('error thrown: ', status, text); }; var zz = get_server_data('thisurldoesnotexist.php', null, {CPS:zz, ERROR:errorh});BAD:
var zz = get_server_data('thisurldoesnotexist.php', null, {CPS:zz, ERROR:function(obj, status, text){ console.log('error thrown: ', status, text); }});
For those using jQuery, this variant of get_server_data can accept either one last argument or two. In the case where it receives one, it calls the success callback with null. Thus you can use this function for either error handling strategy.
function get_server_data(url, datav, successf, errorf) { var options = datav ? {data:datav} : {}; options.success = successf; if(typeof errorf === 'undefined') { options.error = function(){ successf(null); }; } else { options.error = errorf; } $.ajax(url, options); }
The continuation that is wrapped into the callback is just out to the end of the immediate environment (nesting) of the function call where it occurs. This may be shorter than what you need in some circumstances.
var data; if(!remote) { data = ["1", "2", "3"]; } else { data = get_server_data('dataneeded.php', null, {CPS:data}); } <== the environment ends here. var i; <= for(i=0; i< data.length; i++) <= { <= NONE OF THIS WILL BE PART OF THE CALLBACK / CONTINUATION do_something(data[i]); <= } <=


--- layout: post tags: [Unit Testing] date: 2012-06-22 15:22:25 UTC title: "Test-specific Equality versus Domain Equality" --- {% include JB/setup %}
As a reaction to my two previous blog posts, Joe Miller asks on Twitter:
That's a fair question which I'd like to answer here.
You should definitely strive towards having domain objects with strong equality semantics. Many things (including unit testing) becomes easier when domain objects override Equals in a meaningful manner. By all means should you prefer that over any Resemblance or Likeness craziness.
What is meaningful equality for a domain object? Personally, I find the guidance provided by Domain-Driven Design indispensable:
Now consider the very common case of mapping layers, or the slightly related scenario of an Anti-corruption Layer. In such cases, the code translates Entities to and from other representations. How do we unit test such mapping code?
If we were to rely on the domain object's built-in equality, we would only be testing that the identity of the Entity is as expected, but not whether or not the mapping code properly maps all the other data. In such cases we need Test-specific Equality, and that's exactly what Resemblances and Likenesses provide.
In the previous example, this is exactly what happens. The SUT produces a new instance of the RequestReservationCommand:
[HttpPost] public ViewResult Post(BookingViewModel model) { this.channel.Send(model.MakeReservation()); return this.View("Receipt", model); }
The MakeReservation method is implemented like this:
public RequestReservationCommand MakeReservation() { return new RequestReservationCommand( this.Date, this.Email, this.Name, this.Quantity); }
Notice that nowhere does the code specify the identity of the RequestReservationCommand instance. This is done by the RequestReservationCommand constructor itself, because it's a domain rule that (unless deserialized) each command has a unique ID.
Thus, from the unit test, you have absolutely no chance of knowing what the ID will be (it's a GUID). You could argue back and forth on whether the RequestReservationCommand class is an Entity or a Value Object, but in both cases, Domain Equality would involve comparing IDs, and those will never match. Therefore, the correct Test-specific Equality is to compare the values without the Id property.
Comments
From a behavioral point of view, we don't really care about the value of the ID (the Guid). From other tests we know that a new instance of a command will always have a unique ID. It's part of the command's invariants. Thus, we know that the ID is going to be unique, so having to configure an Ambient Context is only going to add noise to a unit test.


The goal of this document is to get you up and running with BaMORC as quickly as possible. BaMORC stands for the Bayesian Model Optimized Reference Correction (BaMORC) Method for Assigned and Unassigned Protein NMR Spectra. For a detailed explanation of the algorithm, please refer to “Automatic 13C chemical shift reference correction for unassigned protein NMR spectra”.
There are two important parts to BaMORC: the bamorc()
reference correction function for assigned 13C protein NMR spectra, and the unassigned_bamorc()
reference correction function for unassigned 13C protein NMR spectra. In the first section, you’ll learn about the basics of running both of these functions. In the second section, you will dive into the basics of input data process, and in third section, you’ll learn a little more about the functions used behind-the-scenes by the BaMORC algorithm.
To make a correction, first load BaMORC, then call bamorc()
or unassigned_bamorc()
with the correct arguments:
Here we will using the built-in data to demonstrate the arguments that will be passed into bamorc()
.
## Arguments:
sequence = paste(RefDB_data$carbonDat[[1]]$AA, collapse = "")
secondary_structure = paste(RefDB_data$carbonDat[[1]]$SS, collapse = "")
chemical_shifts_input = RefDB_data$carbonDat[[1]][, c(4, 5)]
from = -5
to = 5
## Running bamorc() function:
bamorc(sequence = sequence, secondary_structure = secondary_structure,
chemical_shifts_input = chemical_shifts_input, from = -5,
to = 5)
#> [1] 0.0142443
sequence
: secondary_structure
: chemical_shifts_input
: <data frame n by 2> the carbon 13 chemical shift of the protein.from
and to
: from
must be lower than to
.The length of the sequence
and secondary_structure
should be the same, if not please assign secondary_structure = NULL
, however, the peaklist groups number could be more or less than the length of the sequence. Often peak lists will have fewer CA/CB pairs than the length of the protein sequence.
Printing an argument object gives you some useful information: the actual format, the size, the object type, and if it’s a string.
Next, we will use the built-in data to demonstrate the arguments that will be passed in the unassigned_bamorc()
. The output will be slightly different each time it runs, due to the randomness of the optimization.
## Arguments:enerate a temperary sample NMR spectra file and
## later will be removed.
sequence = "RPAFCLEPPYAGPGKARIIRYFYNAAAGAAQAFVYGGVRAKRNNFASAADALAACAAA"
sample_file_path = system.file("extdata", "bpti_HNcoCACB.txt",
package = "BaMORC")
## Running unassigned_bamorc() function: unassigned_bamorc
## will take a while to run
unassigned_bamorc(peakList_file_loc = sample_file_path, sequence = sequence,
secondary_structure = NULL, from = -5, to = 5)
The data passed in both above functions should be pre-processed. Luckly, we provide a variety of helper functions. See the following on how to process the data.
There are three file parsing functions within the BaMORC package: read_raw_file()
, read_nmrstar_file()
, and read_db_file()
. These functions handle a wide range of the input files.
Delimiter of white space:
## Arguments:
sample_file_path = system.file("extdata", "sample_input_ws.txt",
package = "BaMORC")
## Running reading function
head(read_raw_file(sample_file_path, delim = "ws"))
#> Parsed with column specification:
#> cols(
#> X1 = col_double(),
#> X2 = col_double()
#> )
#> [[1]]
#> [1] "NHQDHNNFQTLPYVPCSTCEGNLACLSLCHIE"
#>
#> [[2]]
#> # A tibble: 32 x 2
#> X1 X2
#> <dbl> <dbl>
#> 1 NA 38.6
#> 2 NA 28.8
#> 3 56.3 30.4
#> 4 54.4 41.3
#> 5 NA 28.8
#> 6 55.1 38.9
#> 7 NA 38.8
#> 8 NA 39.3
#> 9 NA 30.3
#> 10 62.1 69.8
#> # ... with 22 more rows
Delimiter of comma:
## Arguments:
sample_file_path = system.file("extdata", "sample_input.csv",
package = "BaMORC")
## Running reading function
head(read_raw_file(sample_file_path, delim = "comma"))
#> Parsed with column specification:
#> cols(
#> X1 = col_double(),
#> X2 = col_double()
#> )
#> [[1]]
#> [1] "NHQDHNNFQTLPYVPCSTCEGNLACLSLCHIE"
#>
#> [[2]]
#> # A tibble: 32 x 2
#> X1 X2
#> <dbl> <dbl>
#> 1 NA 38.6
#> 2 NA 28.8
#> 3 56.3 30.4
#> 4 54.4 41.3
#> 5 NA 28.8
#> 6 55.1 38.9
#> 7 NA 38.8
#> 8 NA 39.3
#> 9 NA 30.3
#> 10 62.1 69.8
#> # ... with 22 more rows
Delimiter of semicolon:
## Arguments:
sample_file_path = system.file("extdata", "sample_input_sc.txt",
package = "BaMORC")
## Running reading function
head(read_raw_file(sample_file_path, delim = "semicolon"))
#> Parsed with column specification:
#> cols(
#> X1 = col_double(),
#> X2 = col_double()
#> )
#> [[1]]
#> [1] "NHQDHNNFQTLPYVPCSTCEGNLACLSLCHIE"
#>
#> [[2]]
#> # A tibble: 32 x 2
#> X1 X2
#> <dbl> <dbl>
#> 1 NA 38.6
#> 2 NA 28.8
#> 3 56.3 30.4
#> 4 54.4 41.3
#> 5 NA 28.8
#> 6 55.1 38.9
#> 7 NA 38.8
#> 8 NA 39.3
#> 9 NA 30.3
#> 10 62.1 69.8
#> # ... with 22 more rows
read_raw_file()
: parses user-provided file in customed format as show above examples.
read_nmrstar_file()
: parses user-provided file in BMRB Star 2/3 format.
## Download a BMRB file
library(BMRBr)
bmrb_download(4020, output_dir = "./")
## Read in BMRB file and procec
file_path = "bmr4020.str"
head(read_nmrstar_file(file_path = file_path))
## Delete downloaded BMRB file
unlink("./bmr4020.str")
read_db_file()
: parses file from BMRB by a given entry ID.Secondary structure information predicted based on the protein sequence is required for the optimization. This is predicted through the JPred and jpredapi.
The BaMORC algorithm minimizes the difference between the actual relative cummulative frequency (RCF) of the protein sequence and the estimated RCF predicted from the chemical shifts information. The statistical functions used by the algorithm are shown below with examples. For detailed function descriptions, please see the reference:
calculate_aa_prob()
: returns the probability (density) for a certain type of amino acid based on a chi-squared statistics wtih 2 degrees of freedom.calculate_aa_prob(chi_squared_stat = c(0.05, 0.1, 0.5), df = 2)
#> [1] 0.4876550 0.4756147 0.3894004
calculate_chi_squared_stat()
: given a pair of alpha and beta carbons chemical shifts, this function will return a list of calculated chi-squared statistics based on the combination of amino acid typings and secondary structures. Here we illustrate with a pair of chemical shifts from alpha and beta carbon.calculate_chi_squared_stat(cacb_pair = c(54, 45))
#> AA H B C
#> 1: A 1023.16868895477<PHONE_NUMBER>75473<PHONE_NUMBER>95045
#> 2: B<PHONE_NUMBER>68627 54.4937018085712 74.2438106347521
#> 3: C 24.0426461856623 6.02618817827703 23.2477754200126
#> 4: D 14.4848786940741 2.79850128029531 10.2715883462805
#> 5: E 13.3897615181103 1.88818580572447 4.60208889084118
#> 6: F<PHONE_NUMBER>03217 77.9438324817418 62.5815610717518
#> 7: H<PHONE_NUMBER>10107 53.4257171238817 91.6072511229365
#> 8: I<PHONE_NUMBER>63356 44.4933903131377 94.8605497904786
#> 9: K<PHONE_NUMBER>25817 35.9002492383691 39.0974374716513
#> 10: L<PHONE_NUMBER>76134 19.1632752720135 22.6939781262421
#> 11: M 14.8396700069463 0.383003397426531 2.60892370474794
#> 12: N<PHONE_NUMBER>66307 34.5192736984713 53.7891077582836
#> 13: P 89.4591494720313 19.26900894692 26.5279676961367
#> 14: Q 40.3446974047416 5.81357432329253 11.1635747587969
#> 15: R<PHONE_NUMBER>22648<PHONE_NUMBER>03255<PHONE_NUMBER>03036
#> 16: S<PHONE_NUMBER>42293<PHONE_NUMBER>65393<PHONE_NUMBER>00641
#> 17: T<PHONE_NUMBER>50779<PHONE_NUMBER>97962<PHONE_NUMBER>24244
#> 18: V 58.3956321465275 6.77558973670799 13.8132678105348
#> 19: W<PHONE_NUMBER>10673 63.1703556188059 77.6629767003917
#> 20: Y<PHONE_NUMBER>18581 47.5540232633832 80.5896644421314
calculate_rcf()
: calculates the relative cummulative freqeucny of amino acid and secondary structure combination.## Arguments:
sequence = paste(RefDB_data$carbonDat[[1]]$AA, collapse = "")
secondary_structure = paste(RefDB_data$carbonDat[[1]]$SS, collapse = "")
## Function:
calculate_rcf(sequence = sequence, secondary_structure = secondary_structure)
#> [[1]]
#> [1] "S-C" "I-C" "P-C" "C-B" "L-B" "L-B" "S-B" "P-C" "W-B" "S-B" "E-B"
#> [12] "W-B" "S-B" "D-C" "C-B" "S-B" "V-B" "T-C" "C-C" "K-B" "M-B" "R-B"
#> [23] "T-B" "R-B" "Q-B" "R-B" "M-B" "L-B" "K-B" "S-C" "L-C" "A-C" "E-C"
#> [34] "L-C" "D-C" "C-C" "N-C" "E-C" "D-C" "L-B" "E-B" "Q-B" "A-B" "E-B"
#> [45] "K-B" "C-B" "M-B" "L-B" "P-B" "E-B" "C-C" "P-C"
#>
#> [[2]]
#> AA_SS Freq
#> 1 A-B 0.01923077
#> 2 A-C 0.01923077
#> 3 C-B 0.05769231
#> 4 C-C 0.05769231
#> 5 D-C 0.05769231
#> 6 E-B 0.07692308
#> 7 E-C 0.03846154
#> 8 I-C 0.01923077
#> 9 K-B 0.05769231
#> 10 L-B 0.09615385
#> 11 L-C 0.03846154
#> 12 M-B 0.05769231
#> 13 N-C 0.01923077
#> 14 P-B 0.01923077
#> 15 P-C 0.05769231
#> 16 Q-B 0.03846154
#> 17 R-B 0.05769231
#> 18 S-B 0.07692308
#> 19 S-C 0.03846154
#> 20 T-B 0.01923077
#> 21 T-C 0.01923077
#> 22 V-B 0.01923077
#> 23 W-B 0.03846154
calculate_mse()
: calculates mean squared error for each correction value (step).


Almost 1 year ago, riding the wave of end of year optimism, Manas.Tech (“we” from here on in this post) decided to commit to wrap up a 1.0 release during 2017 that would include all possible breaking changes to the language.
As with many other new year’s resolutions, this was wishful thinking. At the time of our post, things felt a little closer than what they actually were. Also, due to an influx of new projects we couldn’t put the amount of time we wanted.
Transparency has not been our best strength, mostly due to lack of time and focus but we heard very clear that we have to improve on that. As we have said many times, we are committed to steward Crystal to its success and we will continue to invest everything that’s possible from our end to reach 1.0 and beyond. We have put around 4.200 hours of effort since 2012 and around 2700 hours since we started collecting donations via Bountysource in July 2015. This is without considering any marketing efforts, just developers time.
The end of the year has been much slower than the beginning, as we had to cope with incoming new projects. We have added new people to the Manas.Tech team so that should improve things for 2018.
We have now gone through a collective estimate and have a solid plan to reach 1.0.
| Area | Details | ~Effort in hours |
|---|---|---|
| Distributions | Release builds, distro packages, Docker images, etc | 120 |
| Multi-threading | Rework the fiber scheduler to handle multiple threads in parallel | 680 |
| Better debugging | Develop compiler and runtime support for a reasonable debugging experience | 680 |
| Language semantics | Consider interfaces, generics, macros and interactions between all of them. Remove inessential or redundant language features. | 600 |
Come January, we will restart our work on Crystal in the areas above and will continue to invest at least 2x the hours covered with donations. Please help us spread the word so that we can get to this first production-ready release as soon as possible.
Feel free to reach out with questions, suggestions or comments.
Thanks to all our incredible community for the support, and have happy new year.
-The Crystal Team


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Hi there,
Beerdayz is an app which encourages teams to get things done.
Every week, the team wallet is reset.


Hi all I've done some banal corrections, to make it again compilable. Is there any interest to have them available ? Carlo -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://www.gecode.org/pipermail/users/attachments/20150719/ca04208d/attachment.html>


Scope $watch() vs. $watchCollection() In AngularJS
Change Deep Value
—
Change Shallow Value
—
Rebuild
—
Clear
$watchCollection( collection ) Log
$watch( collection ) Log
$watch( collection, [ Equality = true ] ) Log
Reference
watch-vs-watch-collection